@article{Liu:2024,
  	url = {https://arxiv.org/abs/2404.19756},
  	Archiveprefix = {arXiv},
  	Author = {{Liu}, Z. and {Wang}, Y. and {Vaidya}, S. and {Ruehle}, F. and {Halverson}, J. and {Soljačić}, M. and {Hou}, T.~Y. and {Tegmark}, M.},
  	Eprint = {2404.19756},
  	Journal = {ArXiv e-prints},
  	Month = apr,
  	Title = {{KAN: Kolmogorov-Arnold Networks}},
  	Year = 2024
}

@misc{flax,
	author = {J. Heek and A. Levskaya and A. Oliver and M. Ritter and B. Rondepierre and A. Steiner and M. {van Zee}},
	title = {{F}lax: A neural network library and ecosystem for {JAX}},
	year = {2024},
	publisher = {GitHub},
	journal = {GitHub repository},
	url = {https://github.com/google/flax}
}

@misc{optax,
	author = {DeepMind and I. Babuschkin and K. Baumli and A. Bell and D. Bhupatiraju and J. Bruce and P. Buchlovsky and D. Budden and T. Cai and A. Clark and I. Danihelka and A. Dedieu and C. Fantacci and J. Godwin and C. Jones and R. Hemsley and T. Hennigan and M. Hessel and S. Hou and S. Kapturowski and T. Keck and I. Kemaev and M. King and M. Kunesch and L. Martens and H. Merzic and V. Mikulik and T. Norman and G. Papamakarios and J. Quan and R. Ring and F. Ruiz and A. Sanchez and L. Sartran and R. Schneider and E. Sezener and S. Spencer and S. Srinivasan and M. Stanojevi\'{c} and W. Stokowiec and L. Wang and G. Zhou and F. Viola},
	title = {The {D}eep{M}ind {JAX} {E}cosystem},
	year = {2020},
	publisher = {GitHub},
	journal = {GitHub repository},
	url = {https://github.com/google-deepmind}
}

@article{Karniadakis:2024,
	title = "{A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks}",
	journal = {Computer Methods in Applied Mechanics and Engineering},
	volume = {431},
	pages = {117290},
	year = {2024},
	doi = {10.1016/j.cma.2024.117290},
	url = {https://www.sciencedirect.com/science/article/pii/S0045782524005462},
	author = {{Shukla}, K. and {Toscano}, J.~D. and {Wang}, Z. and {Zou}, Z. and {Karniadakis}, G.~E.},
}

@article{Sidharth:2024,
  	url = {https://arxiv.org/abs/2405.07200},
  	Archiveprefix = {arXiv},
  	Author = {{Sidharth}, S.~S. and {Keerthana}, A.~R. and {Gokul}, R. and {Anas}, K.~P.},
  	Eprint = {2405.07200},
  	Journal = {ArXiv e-prints},
  	Month = jun,
  	Title = {{Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation}},
  	Year = 2024
}

@misc{fkan,
	author = {{Gist Noesis}},
	title = {{FourierKAN}},
	year = {2024},
	publisher = {GitHub},
	journal = {GitHub repository},
	url = {https://github.com/GistNoesis/FourierKAN}
}

@misc{effkan,
	author = {{Blealtan}},
	title = {{An Efficient Implementation of Kolmogorov-Arnold Network}},
	year = {2024},
	publisher = {GitHub},
	journal = {GitHub repository},
	url = {https://github.com/Blealtan/efficient-kan}
}

@misc{pykan,
	author = {{Liu}, Z.},
	title = {{Kolmogorov-Arnold Networks (KANs)}},
	year = {2024},
	publisher = {GitHub},
	journal = {GitHub repository},
	url = {https://github.com/KindXiaoming/pykan}
}

@article{paszke:2019,
  	url = {https://arxiv.org/abs/1912.01703},
  	Archiveprefix = {arXiv},
  	Author = {{Paszke}, A. and {Gross}, S. and {Massa}, F. and {Lerer} A. and {Bradbury}, J. and {Chanan}, G. and {Killeen}, T. and {Lin}, Z. and {Gimelshein}, N. and {Antiga}, L. and {Desmaison}, A. and {Köpf}, A. and {Yang}, E. and {DeVito}, Z. and {Raison}, M. and {Tejani}, A. and {Chilamkurthy}, S. and {Steiner}, B. and {Fang}, L. and {Bai}, J. and {Chintala}, S.},
  	Eprint = {1912.01703},
  	Journal = {ArXiv e-prints},
  	Month = dec,
  	Title = {{PyTorch: An Imperative Style, High-Performance Deep Learning Library}},
  	Year = 2019
}

@misc{neuromancer,
	author = {{Drgona}, J. and {Tuor}, A. and {Koch}, J. and {Shapiro}, M. and {Jacob}, B. and {Vrabie}, D.},
	title = {{NeuroMANCER: Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations}},
	year = {2023},
	publisher = {GitHub},
	journal = {GitHub repository},
	url = {https://github.com/pnnl/neuromancer}
}

@article{Rigas:2024,
	title = "{Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks}",
	journal = {IEEE Access},
	volume = {12},
	pages = {176982},
	year = {2024},
	doi = {10.1109/ACCESS.2024.3504962},
	url = {https://ieeexplore.ieee.org/document/10763509},
	author = {{Rigas}, S. and {Papachristou}, M. and {Papadopoulos}, T. and {Anagnostopoulos}, F. and {Alexandridis}, G.},
}

@article{Howard1:2024,
  	url = {https://arxiv.org/abs/2406.19662},
  	Archiveprefix = {arXiv},
  	Author = {{Howard}, A.~A. and {Jacob}, B. and {Murphy}, S.~H. and {Heinlein}, A. and {Stinis}, P.},
  	Eprint = {2406.19662},
  	Journal = {ArXiv e-prints},
  	Month = jun,
  	Title = {{Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems}},
  	Year = 2024
}

@article{Howard2:2024,
  	url = {https://arxiv.org/abs/2410.14764},
  	Archiveprefix = {arXiv},
  	Author = {{Howard}, A.~A. and {Jacob}, B. and {Stinis}, P.},
  	Eprint = {2410.14764},
  	Journal = {ArXiv e-prints},
  	Month = oct,
  	Title = {{Multifidelity Kolmogorov-Arnold Networks}},
  	Year = 2024
}

@article{Jacob:2024,
  	url = {https://arxiv.org/abs/2411.06286},
  	Archiveprefix = {arXiv},
  	Author = {{Jacob}, B. and {Howard}, A.~A. and {Stinis}, P.},
  	Eprint = {2411.06286},
  	Journal = {ArXiv e-prints},
  	Month = nov,
  	Title = {{SPIKANs: Separable Physics-Informed Kolmogorov-Arnold Networks}},
  	Year = 2024
}

@article{Wu:2023,
	title = "{A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks}",
	journal = {Computer Methods in Applied Mechanics and Engineering},
	volume = {403},
	pages = {115671},
	year = {2023},
	doi = {10.1016/j.cma.2022.115671},
	url = {https://www.sciencedirect.com/science/article/pii/S0045782522006260},
	author = {{Wu}, C. and {Zhu}, M. and {Tan}, Q. and {Kartha}, Y. and {Lu}, L.}
}